Rasgo
Rasgo is an AI-powered Copilot for your data warehouse, letting teams query and analyze their data through natural-language interfaces while the data stays inside their existing warehouse. The Rasgo AI agent translates data-warehouse metadata into an LLM-friendly form and can be trained on a specific business domain through natural-language notes. It supports Snowflake and BigQuery (with Redshift and Delta Lake via Databricks on the roadmap) and integrates with OpenAI, Anthropic, Gemini, and dbt Cloud. Rasgo also offers a beta HTTP API (Enterprise plans and above) and an official Python SDK, pyrasgo, that grew out of its earlier data feature-engineering product line. Rasgo is backed by Insight Partners.
Rasgo publishes 1 API on the APIs.io network: Metadata API. Tagged areas include Company, Data Warehouse, Analytics, Artificial Intelligence, and Natural Language.
Rasgo’s developer surface includes documentation, API reference, getting-started guide, signup flow, changelog, authentication, and 12 more developer resources.
Kin Score
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Rasgo Metadata API
Table metadata operations
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
rasgo-mcp.yml
MCP SERVERSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Company 1
The organization behind the API